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FlagAI

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FlagAI (Fast LArge-scale General AI models) is a fast, easy-to-use and extensible toolkit for large-scale model. ![GitHub Repo stars](https://img.shields.io/github/stars/FlagAI-Open/FlagAI?style=social)

FreeFree tier
Inputs: text, imageOutputs: text, image
Type
Open Source
Company
BAAI (Beijing Academy of Artificial Intelligence)

About FlagAI

FlagAI (Fast LArge-scale General AI models) is a fast, easy-to-use and extensible open-source toolkit for training, fine-tuning, and deploying large-scale AI models. Developed by BAAI, it supports multi-modality tasks including natural language processing, image-text matching, and text-to-image generation. FlagAI provides an API to quickly download over 30 pre-trained models such as Aquila, AltCLIP, AltDiffusion, GLM, OPT, BERT, and GPT2. It enables parallel training with fewer than ten lines of code by integrating PyTorch, DeepSpeed, Megatron-LM, and BMTrain. The toolkit also includes few-shot learning capabilities via a prompt-learning toolkit and is particularly strong on Chinese-language tasks.

Key Features

Quickly download over 30 pre-trained models via API, including Aquila, AltCLIP, AltDiffusion, GLM, OPT, BERT, RoBERTa, GPT2, T5, ALM, and HuggingFace Transformers models
Parallel training with fewer than 10 lines of code using PyTorch, DeepSpeed, Megatron-LM, and BMTrain
Few-shot learning toolkit with prompt-learning capabilities
Strong support for Chinese-language tasks, including text classification, information extraction, question answering, summarization, and text generation
Multi-modality support: language, image-text matching (AltCLIP, EVA-CLIP), and text-to-image generation (AltDiffusion)
Supports fine-tuning and inference for a wide range of models and downstream tasks

Pros & Cons

Pros
  • Extensive library of over 30 pre-trained models covering language, vision, and multimodal tasks
  • Easy parallel training setup with integration of major distributed training libraries
  • Built-in few-shot learning toolkit simplifies prompt-based tuning
  • Free and open source with active community on GitHub
  • Well-suited for Chinese NLP tasks with high-quality Chinese models
Cons
  • Primarily optimized for Chinese-language tasks, which may limit applicability for other languages without additional tuning
  • Requires familiarity with deep learning frameworks and command-line usage
  • Documentation is mainly available in Chinese and English but may lack detailed English tutorials for some models

Best For

Natural language processing: text classification, information extraction, question answering, summarization, text generationChinese-language AI tasks leveraging models like Aquila and GLMImage-text matching and retrieval with AltCLIP and EVA-CLIPText-to-image generation using AltDiffusionFew-shot learning and prompt-based fine-tuning

FAQ

What is FlagAI?
FlagAI (Fast LArge-scale General AI models) is an open-source toolkit for training, fine-tuning, and deploying large-scale AI models, with support for multi-modality tasks such as NLP, image-text matching, and text-to-image generation.
What models does FlagAI support?
FlagAI supports over 30 mainstream models including Aquila, AltCLIP, AltDiffusion, GLM, EVA-CLIP, OPT, BERT, RoBERTa, GPT2, T5, ALM, and models from HuggingFace Transformers.
Can FlagAI be used for Chinese tasks?
Yes, FlagAI is particularly good at Chinese tasks and provides models like Aquila and GLM that are strong for Chinese text classification, question answering, summarization, and generation.
How can I parallelize training with FlagAI?
FlagAI integrates PyTorch, DeepSpeed, Megatron-LM, and BMTrain, allowing you to parallelize training and testing with fewer than ten additional lines of code.
Is FlagAI free to use?
Yes, FlagAI is open source and free to use. It is hosted on GitHub under a permissive license.